WEScover: selection between clinical whole exome sequencing and gene panel testing

Abstract Background Whole exome sequencing (WES) is widely adopted in clinical and research settings; however, one of the practical concerns is the potential false negatives due to incomplete breadth and depth of coverage for several exons in clinically implicated genes. In some cases, a targeted ge...

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Main Authors: In-Hee Lee, Yufei Lin, William Jefferson Alvarez, Carles Hernandez-Ferrer, Kenneth D. Mandl, Sek Won Kong
Format: Article
Language:English
Published: BMC 2021-05-01
Series:BMC Bioinformatics
Subjects:
Online Access:https://doi.org/10.1186/s12859-021-04178-5
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spelling doaj-1eed6270bc814a5da9868696bb4f71772021-05-23T11:48:50ZengBMCBMC Bioinformatics1471-21052021-05-012211910.1186/s12859-021-04178-5WEScover: selection between clinical whole exome sequencing and gene panel testingIn-Hee Lee0Yufei Lin1William Jefferson Alvarez2Carles Hernandez-Ferrer3Kenneth D. Mandl4Sek Won Kong5Computational Health Informatics Program, Boston Children’s HospitalComputational Health Informatics Program, Boston Children’s HospitalComputational Health Informatics Program, Boston Children’s HospitalComputational Health Informatics Program, Boston Children’s HospitalComputational Health Informatics Program, Boston Children’s HospitalComputational Health Informatics Program, Boston Children’s HospitalAbstract Background Whole exome sequencing (WES) is widely adopted in clinical and research settings; however, one of the practical concerns is the potential false negatives due to incomplete breadth and depth of coverage for several exons in clinically implicated genes. In some cases, a targeted gene panel testing may be a dependable option to ascertain true negatives for genomic variants in known disease-associated genes. We developed a web-based tool to quickly gauge whether all genes of interest would be reliably covered by WES or whether targeted gene panel testing should be considered instead to minimize false negatives in candidate genes. Results WEScover is a novel web application that provides an intuitive user interface for discovering breadth and depth of coverage across population-scale WES datasets, searching either by phenotype, by targeted gene panel(s) or by gene(s). Moreover, the application shows metrics from the Genome Aggregation Database to provide gene-centric view on breadth of coverage. Conclusions WEScover allows users to efficiently query genes and phenotypes for the coverage of associated exons by WES and recommends use of panel tests for the genes with potential incomplete coverage by WES.https://doi.org/10.1186/s12859-021-04178-5Genetic testingFalse negativeCoverageWhole exome sequencingGene panel testing
collection DOAJ
language English
format Article
sources DOAJ
author In-Hee Lee
Yufei Lin
William Jefferson Alvarez
Carles Hernandez-Ferrer
Kenneth D. Mandl
Sek Won Kong
spellingShingle In-Hee Lee
Yufei Lin
William Jefferson Alvarez
Carles Hernandez-Ferrer
Kenneth D. Mandl
Sek Won Kong
WEScover: selection between clinical whole exome sequencing and gene panel testing
BMC Bioinformatics
Genetic testing
False negative
Coverage
Whole exome sequencing
Gene panel testing
author_facet In-Hee Lee
Yufei Lin
William Jefferson Alvarez
Carles Hernandez-Ferrer
Kenneth D. Mandl
Sek Won Kong
author_sort In-Hee Lee
title WEScover: selection between clinical whole exome sequencing and gene panel testing
title_short WEScover: selection between clinical whole exome sequencing and gene panel testing
title_full WEScover: selection between clinical whole exome sequencing and gene panel testing
title_fullStr WEScover: selection between clinical whole exome sequencing and gene panel testing
title_full_unstemmed WEScover: selection between clinical whole exome sequencing and gene panel testing
title_sort wescover: selection between clinical whole exome sequencing and gene panel testing
publisher BMC
series BMC Bioinformatics
issn 1471-2105
publishDate 2021-05-01
description Abstract Background Whole exome sequencing (WES) is widely adopted in clinical and research settings; however, one of the practical concerns is the potential false negatives due to incomplete breadth and depth of coverage for several exons in clinically implicated genes. In some cases, a targeted gene panel testing may be a dependable option to ascertain true negatives for genomic variants in known disease-associated genes. We developed a web-based tool to quickly gauge whether all genes of interest would be reliably covered by WES or whether targeted gene panel testing should be considered instead to minimize false negatives in candidate genes. Results WEScover is a novel web application that provides an intuitive user interface for discovering breadth and depth of coverage across population-scale WES datasets, searching either by phenotype, by targeted gene panel(s) or by gene(s). Moreover, the application shows metrics from the Genome Aggregation Database to provide gene-centric view on breadth of coverage. Conclusions WEScover allows users to efficiently query genes and phenotypes for the coverage of associated exons by WES and recommends use of panel tests for the genes with potential incomplete coverage by WES.
topic Genetic testing
False negative
Coverage
Whole exome sequencing
Gene panel testing
url https://doi.org/10.1186/s12859-021-04178-5
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